Example Concept: GANs improve image realism by employing a generator to create images and a discriminator to evaluate them. The generator aims to produce images indistinguishable from real ones, while the discriminator's role is to differentiate between real and generated images. This adversarial process continues until the generator produces highly realistic images that the discriminator can no longer easily distinguish from real images.